Second Language Acquisition, Language Education, NLP, LLM and Discourse Analytics

Dr Wang's research bridges Chinese language pedagogy and educational assessment with AI and NLP. Her research integrates Chinese corpus linguistics, lexis, and semantics with digital communication analysis. She pioneers AI-driven frameworks and methodological innovations for evaluating discourse performance, second-language acquisition, and multimodal computer-mediated communication across digital platforms.

  • Theoretical
  • Language pedagogy and assessment (L1, L2, HKDSE, IB Chinese, IELTS, TBLT)
  • Nature of human communication (e.g., Language & Emotions—>Cognitive processing —> Decision making)
  • Methodological
  • Designing Generative-AI tools for language teaching and learning (See Tools)
  • Innovative sentiment analysis of new media (Forthcoming)
  • Applications
  • Language and educational Apps development (e.g., ISS, ISW, CARA, L2-AAT)
  • Computational social science (Using ML, NLP, AI solutions to understand FF/online discourse)
  • Deceptive Writing Theory (with Ming Ming Chiu, Forthcoming)

Interested in collaboration on topics related to SLA, TBLT, Educational testing and Assessment, Communication, Social Media and NLP analyses of Chinese and English:

Current Projects

Natural Language Processing (NLP) and Large Language Models (LLM) Applications in Education

Technology-supported language assessment, Generative AI in language education, Fake news detection, discourse and digital humanity


GenAI tools developed

  1. Improve Your Stories (ISS): A Generative AI tool that offers personalized, progressive generative feedback and focuses on meaning and language use for oral or written narrative tasks (Wang et al., under review)



2. Improve Student Writing (ISW): ISW is a Multi-layered Feedback AI tool designed for offering structured, multi-level feedback for guiding second language learners’ argumentative essay (Wang et al., in preparation; Chiu et al., in preparation).




3. Conversational Agreement and Rapport Analytics (CARA-NLP): A natural language processing (NLP) tool for evaluating agreement and rapport in conversations (e.g., IELTS speaking, Chiu et al., 2025; Lin et al., 2025)

GitHub

janjanwang/Conversational-Agreement-and-Rapport-Analytics-CARA-

A natural language processing (NLP) tool for evaluating agreement and rapport in conversations. - janjanwang/Conversational-Agreement-and-Rapport-Analytics-CARA-

GenAI tools we are developing

4. A multi-agent system for multi-lingual fake news detection: A persona-based agent system of LLMs that emulate human judgement of fake news in four languages (English, French, Korean, and Chinese) of tweets (Chiu et al., 2025).